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1)  8-neighborhood based generalized Hough transform
特殊广义Hough变换
1.
A 8-neighborhood based generalized Hough transform for fragmented graphics recognition;
一种可识别破碎图形的特殊广义Hough变换方法
2)  generalized Hough transform
广义Hough变换
1.
Well log curve images skew correction based on improved generalized Hough transform;
基于改进广义Hough变换的高效测井图像校正
2.
A 8-neighborhood based generalized Hough transform for fragmented graphics recognition;
一种可识别破碎图形的特殊广义Hough变换方法
3.
Acquiring the Sub-pixel Coordinates of Center of Circle of Target Image by Using Revised Generalized Hough Transform;
用改进的广义Hough变换获取靶纸图像子像素级圆心坐标
3)  general Hough transform
广义Hough变换
1.
Scale-invariant feature transform is applied to extract image feature,and circle based neighborhood method is adopted to compute feature main orientation,which strengthens the performance of feature rotation invariance,makes use of k-d tree combined with simplified general Hough transform to implement image feature match,which improves the matching efficiency and accuracy.
运用尺度不变特征变换方法提取图像特征,采用基于圆域的特征主方向计算方法,强化了图像的特征旋转不变性能;利用k-d搜索树与简化的广义Hough变换相结合的方式进行图像特征匹配,提高了特征匹配的效率和精度。
4)  Fuzzy Generalized Hough Transform
模糊广义Hough变换(FGHT)
5)  GMCWD-Hough transform
广义边缘CWD-Hough变换
1.
Wide-band acoustic imaging using GMCWD-Hough transform
广义边缘CWD-Hough变换在宽带声成像中的应用
6)  dual-point GHT
对偶点广义Hough变换
补充资料:Radon变换和逆Radon变换


Radon变换和逆Radon变换


X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于,它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积,即体素的线性衰减系数两维空间分布的可能性。
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